Interactive Statistics Graphics with plotly

#Location of Final dataset on Github
LifeExpIncomFinal <- "https://raw.githubusercontent.com/APM3030/STA553/main/homework3/LifeExpIncomFinal.csv"
LifeExpIncomFinal <- read_csv(LifeExpIncomFinal)
#convert year to integer
LifeExpIncomFinal <- mutate(LifeExpIncomFinal, Year = as.integer(LifeExpIncomFinal$Year))

#subet data for year 2015
leifinal2015 <- LifeExpIncomFinal %>% filter(Year == 2015)
#plot the data 
#consider using ggplotly
plot_ly(
  data = leifinal2015,
  x = ~Income ,  # Horizontal axis 
  y = ~LifeExp ,   # Vertical axis   # must be a numeric factor
  text = ~geo,   #location in the hover text
hovertemplate = paste(
      "%{yaxis.title.text}: %{y:}<br>",

      "%{xaxis.title.text}: %{x:}<br>",

      "Population: %{marker.size:}",
      
      "<extra></extra>"),

  color = ~factor(geo),
  alpha  = 0.5 ,
  size = ~Population,
  type = "scatter",
  mode = "markers"
   ) %>%
    layout(showlegend = FALSE, 
            title =list(text = "Relationship Between Life Expectancy and GDP", 
                          font = list(family = "Arial",    
                                        size = 18,
                                      face = "bold")),
           xaxis = list( 
                    title=list(text = 'GDP Per Capita')),
           yaxis = list (
                    title = list(text = 'Life Expectancy')
           )

    )